Remote Sensing and GIS Based wheat Crop Acreage and Yield Estimation of District Hyderabad, Pakistan

• Published in: Mehran University Research Journal of Engineering and Technology Vol. 34; no. 1; pp. 33 - 39
• Main Authors: ALTAF ALI SIYAL, ABDUL GHAFOOR SIYAL, RASOOL BUX MAHAR
• Format: Journal Article
• Language: English
• Published: Mehran University of Engineering and Technology 01.01.2015
• Subjects: Agricultural innovations; ArcGIS; area estimation; Crop yield; Crop yields; Crops; Geo-referenced; GPS; Growth; Harvesting; Hyderabad; Measurement; Simulation methods; Small area statistics; Hyderabad; India; ArcGIS; Area Estimation; Geo-Referenced; GPS; Crop Yield; Hyderabad
• ISSN: 0254-7821; 2413-7219

Pre-harvest reliable and timely yield forecast and area estimates of cropped area is vital to planners and policy makers for making important and timely decisions with respect to food security in a country. The present study was conducted to estimate the wheat cropped area and crop yield in Hyderabad District, Pakistan from the Landsat 8 satellite imagery for Rabi 2013-2014 and ground trothing. The required imagery of district Hyderabad was acquired from GLOVIS and was classified with maximum likelihood algorithm using ArcGIS 10.1. The classified image revealed that in district Hyderabad wheat covered 10,210 hectares (9.74% of total area) during Rabi season 2013-2014 against 15,000 hectares (4.3% of total area) reported by CRS (Crop Reporting Services), Sindh which is 30% less than that of reported by CRS. A positive linear relation between the wheat crop yield and the peak NDVI (Normalized Difference vegetation Index) with coefficient of determination R^2 = 0.91 was observed. Crop area and yield forecast through remote sensing is easy, cost effective, quick and reliable hence this technology needs to be introduced and propagated in the concerned government departments of Pakistan.